One-year Mortality of Cancer Patients with an Unplanned ICU Admission: A Cohort Analysis Between 2008 and 2017 in the Netherlands

Short-term and long-term outcomes of critically ill patients with solid malignancy: a retrospective cohort study

BACKGROUND/AIMS

With the global increase in patients with solid malignancies, it is helpful to understand the outcomes of intensive care unit (ICU) admission for these patients. This study evaluated the risk factors for ICU mortality and the shortand long-term outcomes in patients with solid malignancies who had unplanned ICU admission.

METHODS

This retrospective cohort study included patients with solid malignancies treated at the medical ICU of a single tertiary center in South Korea between 2016 and 2022.

RESULTS

Among the 955 patients, the ICU mortality rate was 23.5%. Lung cancer was the most common cancer type (34.2%) and was significantly associated with increased ICU mortality (odd ratio [OR] 1.58, p = 0.030). Higher Sequential Organ Failure Assessment scores at ICU admission (OR 1.11, p < 0.001), the need for mechanical ventilation (OR 6.74, p < 0.001), or renal replacement therapy during the ICU stay (OR 2.49, p < 0.001) were significantly associated with higher ICU mortality. The 1-year survival rate after ICU admission was 29.3%, with a median survival of 37 days for patients requiring mechanical deviaventilation, and 23 days for patients requiring renal replacement therapy.

CONCLUSION

This study showed that critically ill patients with solid malignancies had poor 1-year survival despite relatively low ICU mortality. These findings highlight the need for careful consideration of ICU admission in patients with solid malignancy, and decision-making should be based on an understanding of the expected short- and long-term prognosis of ICU admission after an informed discussion among patients, families, and physicians.

Effects of closed- versus open-system intensive care units on mortality rates in patients with cancer requiring emergent surgical intervention for acute abdominal complications: a single-center retrospective study in Korea

BACKGROUND

In this study, we aimed to compare the in-hospital mortality of patients with cancer who experienced acute abdominal complications that required emergent surgery in open (treatment decisions made by the primary attending physician of the patient's admission department) versus closed (treatment decisions made by intensive care unit [ICU] intensivists) ICUs.

METHODS

This retrospective, single-center study enrolled patients with cancer admitted to the ICU before or after emergency surgery between November 2020 and September 2023. Univariate and logistic regression analyses were conducted to explore the associations between patient characteristics in the open and closed ICUs and in-hospital mortality.

RESULTS

Among the 100 patients (open ICU, 49; closed ICU, 51), 23 died during hospitalization. The closed ICU group had higher Acute Physiology and Chronic Health Evaluation (APACHE) II scores, vasopressor use, mechanical ventilation, and preoperative lactate levels and a shorter duration from diagnosis to ICU admission, surgery, and antibiotic administration than the open ICU group. Univariate analysis linked in-hospital mortality and APACHE II score, postoperative lactate levels, continuous renal replacement therapy (CRRT), and mechanical ventilation. Multivariate analysis revealed that in-hospital mortality rate increased with CRRT use and was lower in the closed ICU.

CONCLUSIONS

Compared to an open ICU, a closed ICU was an independent factor in reducing in-hospital mortality through prompt and appropriate treatment.

Decreased Long-Term Survival of Patients With Newly Diagnosed Cancer Discharged Home After Unplanned ICU Admission: A Prospective Observational Study

IMPORTANCE AND OBJECTIVES

To compare the 18-month survival between patients with newly diagnosed cancer discharged home after early unplanned ICU admission and those without early unplanned ICU admission; we also evaluated the frequency and risk factors for early unplanned ICU admission.

DESIGN

Observational study with prospectively collected data from September 2019 to June 2021 and 18 months follow-up.

SETTING

Single dedicated cancer center in São Paulo, Brazil.

PARTICIPANTS

We screened consecutive adults with suspected cancer and included those with histologically proven cancer from among 20 highly prevalent cancers.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The exposure was early unplanned ICU admission, defined as admission for medical reasons or urgent surgery during the first 6 months after cancer diagnosis. The main outcome was 18-month survival after cancer diagnosis, and the main analysis was Cox's proportional hazards model adjusted for confounders and immortal time bias. Propensity score matching was used in the sensitivity analysis. We screened 4738 consecutive adults with suspected cancer and included 3348 patients. Three hundred twelve (9.3%) had early unplanned ICU admission, which was associated with decreased 18-month survival both in the unadjusted (hazard ratio, 4.03; 95% CI, 2.89-5.62) and adjusted (hazard ratio, 1.84; 95% CI, 1.29-2.64) models. The sensitivity analysis confirmed the results because the groups were balanced after matching, and the 18-month survival of patients with early ICU admission was lower compared with patients without early ICU admission (87.0% vs. 93.9%; p = 0.01 log-rank test). Risk factors for early unplanned ICU admission were advanced age, comorbidities, worse performance status, socioeconomic deprivation, metastatic tumors, and hematologic malignancies.

CONCLUSIONS

Patients with newly diagnosed cancer discharged home after early unplanned ICU admission have decreased 18-month survival compared with patients without early unplanned ICU admission.

External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study

OBJECTIVES

The limitations of current early warning scores have prompted the development of deep learning-based systems, such as deep learning-based cardiac arrest risk management systems (DeepCARS). Unfortunately, in South Korea, only two institutions operate 24-hour Rapid Response System (RRS), whereas most hospitals have part-time or no RRS coverage at all. This study validated the predictive performance of DeepCARS during RRS operation and nonoperation periods and explored its potential beyond RRS operating hours.

DESIGN

Retrospective cohort study.

SETTING

In this 1-year retrospective study conducted at Yonsei University Health System Severance Hospital in South Korea, DeepCARS was compared with conventional early warning systems for predicting in-hospital cardiac arrest (IHCA). The study focused on adult patients admitted to the general ward, with the primary outcome being IHCA-prediction performance within 24 hours of the alarm.

PATIENTS

We analyzed the data records of adult patients admitted to a general ward from September 1, 2019, to August 31, 2020.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Performance evaluation was conducted separately for the operational and nonoperational periods of the RRS, using the area under the receiver operating characteristic curve (AUROC) as the metric. DeepCARS demonstrated a superior AUROC as compared with the Modified Early Warning Score (MEWS) and the National Early Warning Score (NEWS), both during RRS operating and nonoperating hours. Although the MEWS and NEWS exhibited varying performance across the two periods, DeepCARS showed consistent performance.

CONCLUSIONS

The accuracy and efficiency for predicting IHCA of DeepCARS were superior to that of conventional methods, regardless of whether the RRS was in operation. These findings emphasize that DeepCARS is an effective screening tool suitable for hospitals with full-time RRS, part-time RRS, and even those without any RRS.

Prognostic factors for critically ill surgical patients with unplanned intensive care unit readmission: Developing a novel predictive scoring model for predicting readmission

BACKGROUND

Unplanned readmission to the surgical intensive care unit has been demonstrated to worsen patient outcomes. Our objective was to identify risk factors and outcomes associated with unplanned surgical intensive care unit readmission and to develop a predictive scoring model to identify patients at high risk of readmission.

METHODS

We retrospectively analyzed patients admitted to the surgical intensive care unit (2020-2021) and categorized them as either with or without unplanned readmission.

RESULTS

Of 1,112 patients in the derivation cohort, 76 (6.8%) experienced unplanned surgical intensive care unit readmission, with sepsis being the leading cause of readmission (35.5%). Patients who were readmitted had significantly higher in-hospital mortality rates than those who were not. Multivariate analysis identified congestive heart failure, high Sequential Organ Failure Assessment-Hepatic score, use of carbapenem during surgical intensive care unit stay, as well as factors before surgical intensive care unit discharge such as inadequate glycemic control, positive fluid balance, low partial pressure of oxygen in arterial blood/fraction of inspired oxygen ratio, and receipt of total parenteral nutrition as independent predictors for unplanned readmission. The scoring model developed using these predictors exhibited good discrimination between readmitted and non-readmitted patients, with an area under the curve of 0.74. The observed rates of unplanned readmission for scores of <4 points and ≥4 points were 4% and 20.2% (P < .001), respectively. The model also demonstrated good performance in the validation cohort, with an area under the curve of 0.74 and 19% observed unplanned readmission rate for scores ≥4 points.

CONCLUSION

Besides congestive heart failure, clinicians should meticulously re-evaluate critical variables such as the Sequential Organ Failure Assessment-Hepatic score, partial pressure of oxygen in arterial blood/fraction of inspired oxygen ratio, glycemic control, and fluid status before releasing the patient from the surgical intensive care unit. It is crucial to determine the reasons for using carbapenems during surgical intensive care unit stay and the causes for the inability to discontinue total parenteral nutrition before discharging the patient from the surgical intensive care unit.

National ICU Registries as Enablers of Clinical Research and Quality Improvement

OBJECTIVES

Clinical quality registries (CQRs) have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. This narrative review describes the challenges, proposed solutions, and evidence generated by National ICU registries as facilitators for research and quality improvement.

DATA SOURCES

English language articles were identified in PubMed using phrases related to ICU registries, CQRs, outcomes, and case-mix.

STUDY SELECTION

Original research, review articles, letters, and commentaries, were considered.

DATA EXTRACTION

Data from relevant literature were identified, reviewed, and integrated into a concise narrative review.

DATA SYNTHESIS

CQRs have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. The initial experience in European countries and in Oceania ensured that through locally generated data, ICUs could assess their performances by using risk-adjusted measures and compare their results through fair and validated benchmarking metrics with other ICUs contributing to the CQR. The accomplishment of these initiatives, coupled with the increasing adoption of information technology, resulted in a broad geographic expansion of CQRs as well as their use in quality improvement studies, clinical trials as well as international comparisons, and benchmarking for ICUs.

CONCLUSIONS

ICU registries have provided increased knowledge of case-mix and outcomes of ICU patients based on real-world data and contributed to improve care delivery through quality improvement initiatives and trials. Recent increases in adoption of new technologies (i.e., cloud-based structures, artificial intelligence, machine learning) will ensure a broader and better use of data for epidemiology, healthcare policies, quality improvement, and clinical trials.

Quality of Life After Intensive Care Unit Admittance for Necrotizing Soft Tissue Infections Is Deemed Acceptable for Patients

Background: Because mortality and amputation rates are declining for necrotizing soft tissue infections (NSTIs), this study aimed to assesses the self-reported one-year quality of life (QoL) of severely ill patients with NSTI who survived beyond the intensive care unit (ICU). Patients and Methods: A retrospective cohort study of patients with NSTI admitted to the ICU between 2010 and 2019 was conducted. A year after ICU discharge, QoL was assessed using the three-level EuroQol five-dimensions (EQ-5D-3L) questionnaire, Impact of Event Scale-Revised (IES-R) questionnaires, and pain scales. Furthermore, willingness to undergo ICU admission again if needed was reviewed. Results: Twenty-nine (of 38) patients with NSTI survived their hospitalization (76%). During the one-year follow-up, three patients died (8%; one-year survival 68%). Nineteen patients filled out the questionnaires (73%). The median EQ-5D-3L index score was 0.775 (interquartile range [IQR], 0.687-0.843). The domains reported most to cause impairment were "usual activity" and "pain/discomfort." Patients had a median pain score of five (of 10; IQR, 1-6) and two patients (15%; of 13) scored "clinical concern for PTSD.". Eighty-five percent of the patients would undergo the ICU treatment again if needed. Conclusions: The one-year QoL of ICU-admitted patients with NSTI varies widely, however, the overall QoL and one-year survival was similar to other ICU patients who underwent acute surgery and the QoL was slightly lower than the general ICU population. Most patients experience problems with daily activity and pain, but this does not mean that patients with NSTI automatically had poor self-reported quality of life or unwillingness to undergo ICU treatment again if needed.

Survival and critical care use among people with dementia in a large English cohort

BACKGROUND

Admitting people with dementia to critical care units may not always lead to a clear survival benefit. Critical care admissions of people with dementia vary across countries. Little is known about the use and trends of critical care admissions of people with dementia in England.

OBJECTIVE

To investigate critical care use and survival among people with dementia in a large London catchment area.

METHODS

A retrospective cohort study using data from dementia assessment services in south London, UK (2007-20) linked with national hospitalisation data to ascertain critical care admissions. Outcomes included age-sex-standardised critical care use and 1-year post-critical care admission survival by dementia severity (binary: mild versus moderate/severe). We used logistic regression and Kaplan-Meier survival plots for investigating 1-year survival following a critical care admission and linear regressions for time trends.

RESULTS

Of 19,787 people diagnosed with dementia, 726 (3.7%) had ≥1 critical care admission at any time after receiving their dementia diagnosis. The overall 1-year survival of people with dementia, who had a CCA, was 47.5% (n = 345). Dementia severity was not associated with 1-year survival following a critical care admission (mild dementia versus moderate-severe dementia odds of 1-year mortality OR: 0.90, 95% CI [0.66-1.22]). Over the 12-year period from 2008 to 2019, overall critical care use decreased (β = -0.05; 95% CI = -0.01, -0.0003; P = 0.03), while critical care admissions occurring during the last year of life increased (β = 0.11, 95% CI = 0.01, 0.20, P = 0.03).

CONCLUSIONS

In this cohort, while critical care use among people with dementia declined overall, its use increased among those in their last year of life. Survival remains comparable to that observed in general older populations.

Delirium and Healthcare Utilization in Patients Undergoing Hematopoietic Stem Cell Transplantation

Delirium, a common neuropsychiatric syndrome among hospitalized patients, has been associated with significant morbidity and mortality in patients undergoing hematopoietic stem cell transplantation (HSCT). Although delirium is often reversible with prompt diagnosis and appropriate management, timely screening of hospitalized patients, including HSCT recipients at risk for delirium, is lacking. The association between delirium symptoms and healthcare utilization among HSCT recipients is also limited. We conducted a retrospective analysis of 502 hospitalized patients admitted for allogeneic or autologous HSCT at 2 tertiary care hospitals between April 2016 and April 2021. We used Natural Language Processing (NLP) to identify patients with delirium symptoms, as defined by an NLP-assisted chart review of the electronic health record (EHR). We used multivariable regression models to examine the associations between delirium symptoms, clinical outcomes, and healthcare utilization, adjusting for patient-, disease-, and transplantation-related factors. Overall, 44.4% (124 of 279) of patients undergoing allogeneic HSCT and 39.0% (87 of 223) of those undergoing autologous HSCT were identified as having delirium symptoms during their index hospitalization. Two-thirds (139 of 211) of the patients with delirium symptoms were prescribed treatment with antipsychotic medications. Among allogeneic HSCT recipients, delirium symptoms were associated with longer hospital length of stay (β = 7.960; P < .001), fewer days alive and out of the hospital (β = -23.669; P < .001), and more intensive care unit admissions (odds ratio, 2.854; P = .002). In autologous HSCT recipients, delirium symptoms were associated with longer hospital length of stay (β = 2.204; P < .001). NLP-assisted EHR review is a feasible approach to identifying hospitalized patients, including HSCT recipients at risk for delirium. Because delirium symptoms are negatively associated with health care utilization during and after HSCT, our findings underscore the need to efficiently identify patients hospitalized for HSCT who are at risk of delirium to improve their outcomes. © 2023 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.

Delivering Palliative Care to Hospitalized Oncology Patients: A Scoping Review

CONTEXT

Early, longitudinal integration of palliative care (PC) is recommended for patients with advanced cancer, in both inpatient and outpatient settings. Despite the growth of specialty PC teams in the last decade, the majority of PC is still delivered in the inpatient setting using a traditional referral-based consult delivery model. However, traditional consultation can lead to significant variation or delay in inpatient PC utilization. New care delivery models and strategies are emerging to deliver PC to hospitalized oncology patients who would most benefit from their services and to better align with professional society recommendations.

OBJECTIVES

To identify different care models to deliver PC to ho`spitalized oncology patients and summarize their impact on patient and health system-related outcomes.

METHODS

We conducted a scoping review of peer-reviewed articles from 2006 to 2021 evaluating delivery of PC to oncology patients in acute inpatient care. We abstracted study characteristics, the study's intervention and comparison arms, and outcomes related to specialty PC intervention.

RESULTS

We identified four delivery models that have been reported to deliver PC: 1) traditional referral-based consultation, 2) criterion-based or "triggered" consultation, 3) co-rounding with primary inpatient team, and 4) PC clinicians serving as the primary team. We summarize the known outcomes data from each model, and compare the benefits and limitations of each model.

CONCLUSION

Our findings provide guidance to health systems about care delivery models to deploy and implement inpatient PC resources to best serve their unique populations.

Incidence and Outcomes of Patients Receiving Chronic Kidney Replacement Therapy Admitted to Scottish ICUs Between 2009 and 2019-A National Observational Cohort Study

OBJECTIVES

To determine the incidence and characteristics of ICU admissions in the Scottish population of patients treated with chronic kidney replacement therapy (KRT) over an 11-year period and determine factors associated with post-ICU admission mortality.

DESIGN

Retrospective observational cohort study.

SETTING

We analyzed admissions to Scottish intensive care environments between January 1, 2009, and December 31, 2019.

PATIENTS

All patients receiving chronic KRT-including maintenance dialysis and kidney transplant-in Scotland.

INTERVENTION

None.

MEASUREMENTS AND MAIN RESULTS

Descriptive statistics and factors associated with mortality using logistic regression and Cox proportional hazard models. From 10,657 unique individuals registered in the Scottish Renal Registry over the 11-year study period and alive as of January 1, 2009, 1,402 adult patients were identified as being admitted to a Scottish critical care setting. Between 2009 and 2019, admissions to ICU increased in a nonlinear manner driven by increases in admissions for renal causes and elective cardiac surgery. The ICU admission rate was higher among patients on chronic dialysis than in kidney transplant recipients (59.1 vs 19.9 per 1,000 person-years), but post-ICU mortality was similar (about 24% at 30 d and 40% at 1 year). Admissions for renal reasons were most common (20.9%) in patients undergoing chronic dialysis, whereas kidney transplant recipients were most frequently admitted for pneumonia (19.3%) or sepsis (12.8%). Adjusted Cox PH models showed that receiving invasive ventilation and vasoactive drugs was associated with an increased risk of death at 30 days post-ICU admission (HR, 1.75; 95% CI, 1.28-2.39 and 1.72; 95% CI, 1.28-2.31, respectively).

CONCLUSIONS

With a growing population of kidney transplant recipients and the improved survival of patients on chronic dialysis, the number of ICU admissions is rising in the chronic KRT population. Mortality post-ICU admission is high for these patients.